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相关概念视频

Improving Translational Accuracy02:07

Improving Translational Accuracy

11.6K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
11.6K
Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

10.9K
Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
10.9K
Intrinsically Disordered Proteins02:18

Intrinsically Disordered Proteins

17.9K
Intrinsically disordered proteins are a group of proteins that do not fold into specific three-dimensional structures. Their structural flexibility allows them to complement ordered proteins to perform functions that are inaccessible to rigid structures. They are more common in eukaryotes than prokaryotes and may either be exclusively intrinsically disordered or hybrid proteins, consisting of a mix of ordered and disordered regions. The absence of a rigid structure in these proteins can be...
17.9K

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相关实验视频

Updated: Jul 21, 2025

High-Resolution Complexome Profiling by Cryoslicing BN-MS Analysis
09:33

High-Resolution Complexome Profiling by Cryoslicing BN-MS Analysis

Published on: October 15, 2019

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蛋白序列和小分子的线性缩放内核优于深度学习,同时提供不确定性量化和改进可解释性.

Jonathan Parkinson, Wei Wang

    Journal of chemical information and modeling
    |July 27, 2023
    PubMed
    概括

    我们介绍了可扩展的高斯过程 (GP) 回归,使用随机特征内核用于序列和图形. 我们的xGPR库为机器学习任务提供了具有竞争力的准确性和不确定性量化.

    科学领域:

    • 机器学习 机器学习
    • 计算化学计算化学
    • 生物信息学是一种生物信息学.

    背景情况:

    • 高斯过程 (GPs) 为回归提供不确定性量化和可解释性.
    • 传统的全科医生面临着计算方面的挑战,以及对序列/图形数据的困难.

    研究的目的:

    • 为序列和图形数据开发可扩展的高斯过程回归方法.
    • 为高效的GP回归引入xGPR Python库.

    主要方法:

    • 引入了随机特征近似的内核,用于数据和输入大小的线性缩放.
    • 使用xGPR库开发了一种高效的算法,用于将GP安装到大型数据集中.
    • 在17个基准标准上比较xGPR性能与深度学习模型.

    主要成果:

    • 与最先进的深度学习模型相比,实现了具有竞争力的准确性.
    • 证明了精确校准的不确定性量化和改进的解释性.
    • 展示了xGPR在自动蛋白质工程的积极学习中的实用性.

    结论:

    • 可扩展的GP回归可用于序列和图形分析.

    更多相关视频

    Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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    Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

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    Calibration-free In Vitro Quantification of Protein Homo-oligomerization Using Commercial Instrumentation and Free, Open Source Brightness Analysis Software
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    Calibration-free In Vitro Quantification of Protein Homo-oligomerization Using Commercial Instrumentation and Free, Open Source Brightness Analysis Software

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    相关实验视频

    Last Updated: Jul 21, 2025

    High-Resolution Complexome Profiling by Cryoslicing BN-MS Analysis
    09:33

    High-Resolution Complexome Profiling by Cryoslicing BN-MS Analysis

    Published on: October 15, 2019

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    Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
    10:37

    Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

    Published on: November 15, 2017

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    Calibration-free In Vitro Quantification of Protein Homo-oligomerization Using Commercial Instrumentation and Free, Open Source Brightness Analysis Software
    08:22

    Calibration-free In Vitro Quantification of Protein Homo-oligomerization Using Commercial Instrumentation and Free, Open Source Brightness Analysis Software

    Published on: July 17, 2018

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  • xGPR为机器学习任务提供了一种高效准确的工具.
  • 使用xGPR进行GP回归有助于自动化科学发现.